Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add YuanyuanMa03/academic-research-skills --skill cnki-journal-indexgit clone --depth 1 https://github.com/YuanyuanMa03/academic-research-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/cnki-journal-index)<a href="https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/cnki-journal-index"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/cnki-journal-index/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/cnki-journal-index"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/cnki-journal-index.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00061 | $0.01659 |
| Opus 5 | $0.00030 | $0.00830 |
| Sonnet 5 | $0.00012 | $0.00332 |
| Haiku 4.5 | $0.00006 | $0.00166 |
Grade A, and why
cnki-journal-index scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CNKI Journal Indexing Query (收录查询)
Check which databases index a journal and extract evaluation metrics from its CNKI detail page.
Arguments
$ARGUMENTS is either:
- A journal name (will search first, then navigate to detail)
- A CNKI journal detail URL (containing
navi.cnki.net/knavi/detail)
Steps
1. Navigate to the journal detail page
If URL provided: Navigate directly.
- Use
mcp__chrome-devtools__navigate_pagewith the URL. - Use
mcp__chrome-devtools__wait_forwith text["该刊被以下数据库收录"]and timeout 15000.
If journal name provided: Search first.
- Navigate to
https://navi.cnki.net/knavi - Search for the journal (same as cnki-journal-search steps 2-4)
- Click the first matching journal title link
- Use
mcp__chrome-devtools__list_pagesto find and select the new detail tab - Wait for the detail page to load
2. Check for captcha
Take snapshot. If "拖动下方拼图完成验证" found, notify user.
3. Extract journal info via JavaScript
Use mcp__chrome-devtools__evaluate_script with this function:
() => {
const body = document.body.innerText;
// Journal title
const titleEl = document.querySelector('h3.titbox, h3.titbox1');
const titleText = titleEl?.innerText?.trim() || '';
const titleParts = titleText.split('\n').map(s => s.trim()).filter(Boolean);
const nameCN = titleParts[0] || '';
const nameEN = titleParts[1] || '';
// Indexing tags - extract from text between title and "基本信息"
const tagText = body.match(/Chinese.*?\n\n([\s\S]*?)\n\n基本信息/)?.[1]
|| body.match(new RegExp(nameCN + '[\\s\\S]*?\\n\\n([\\s\\S]*?)\\n\\n基本信息'))?.[1]
|| '';
const knownTags = ['北大核心','CSSCI','CSCD','SCI','EI','CAS','JST','WJCI','AMI','Scopus','卓越期刊','网络首发'];
const indexedIn = knownTags.filter(tag => tagText.includes(tag) || body.includes(tag));
// Basic info
const sponsor = body.match(/主办单位[::]\s*(.+?)(?=\n)/)?.[1] || '';
const frequency = body.match(/出版周期[::]\s*(\S+)/)?.[1] || '';
const issn = body.match(/ISSN[::]\s*(\S+)/)?.[1] || '';
const cn = body.match(/CN[::]\s*(\S+)/)?.[1] || '';
// Publication info
const collection = body.match(/专辑名称[::]\s*(.+?)(?=\n)/)?.[1] || '';
const paperCount = body.match(/出版文献量[::]\s*(.+?)(?=\n)/)?.[1] || '';
// Evaluation info
const impactComposite = body.match(/复合影响因子[::]\s*([\d.]+)/)?.[1] || '';
const impactComprehensive = body.match(/综合影响因子[::]\s*([\d.]+)/)?.[1] || '';
// "该刊被以下数据库收录" section - click "更多介绍" first if needed
const moreBtn = Array.from(document.querySelectorAll('a')).find(a => a.innerText?.includes('更多介绍'));
const hasMoreIntro = !!moreBtn;
return {
nameCN,
nameEN,
indexedIn,
sponsor,
frequency,
issn,
cn,
collection,
paperCount,
impactComposite,
impactComprehensive,
hasMoreIntro,
rawTagText: tagText.substring(0, 200)
};
}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 164 lines · 61 tokens per session scan A 15cdb87b16b7
cnki-journal-index is a skill published in the GitHub repository YuanyuanMa03/academic-research-skills (63 stars, last pushed 22d ago), licensed MIT. It adds 61 tokens to every session and 1,659 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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